
Senior Data Engineer
Orijin™
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Salary
💰 $120,000 - $127,000 per year
Job Level
About the role
- As a Senior Data Engineer at Orijin, you will be a technical leader responsible for building, scaling, and modernizing the company’s data platform.
- Your primary focus will be on data modeling, pipelines, architecture, reliability, and performance, ensuring that data is trusted, timely, and production-ready.
- As a member of the Enterprise Services team, you will partner closely with data analysts, engineers and product managers to shape how data is modeled and used.
- You will bring an analytical mindset to pipeline design and enable high-quality insights across the organization.
- You will ensure company-wide confidence in data quality and enable data-enabled differentiating products and services.
- Design and evolve Orijin’s data architecture to support scalability, reliability, and near–real-time use cases.
- Define standards for data modeling, orchestration, versioning, and deployment.
- Own the design, build, and maintenance of production-grade data pipelines across batch and streaming workloads.
- Architect and maintain data systems using tools such as AWS (S3, RDS, Redshift, Lambda, DMS, Glue etc.).
Requirements
- Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or equivalent work experience.
- Expertise in the areas of data engineering, platform engineering, or backend engineering roles.
- Proven experience designing and operating large-scale data pipelines and data platforms in production environments.
- Strong proficiency in Python and SQL for data engineering workflows.
- Hands-on experience with AWS data tools like Redshift, Lambda and Glue or equivalents; experience with data orchestration and ETL tools like Airflow, Airbyte and dbt in production environments.
- Experience implementing monitoring, alerting, and data quality frameworks.
- Familiarity with streaming or near–real-time systems (e.g., Kafka, Kinesis, or similar) is a plus.
- Hands-on experience with PostgreSQL databases and NoSQL style databases like MongoDB, DynamoDB, etc.
- Experience supporting machine learning or AI workflows (e.g., feature engineering, embedding pipelines, model inputs/outputs, embeddings, vector databases).
- Strong collaboration and communication skills - able to translate business and analytical needs into robust technical systems.
- Experience with data governance, security, and compliance in regulated or sensitive-data environments.
Benefits
- Orijin offers competitive compensation commensurate and a generous 100% employer-paid benefits package for you and your dependents.
- Occasional Travel as needed and the ability to work EST.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modelingdata pipelinesdata architecturedata qualityPythonSQLETLmonitoring frameworksstreaming systemsmachine learning
Soft Skills
analytical mindsetcollaborationcommunication
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data Science